Automatic Segmentation | STx-Recorder | Real Time Frequency Analyser | Sound file Management | Sound file Segmentation | Visualization | Frequency Analysis | Spectrograms | Quasi-continuous Wavelet-Transform | Wavelet-Phase-Diagram | Spectral Smoothing | Extraction of Formant Frequency Candidates (Speech) | Fundamental Frequency Analysis (Speech) | De-noising, Signal Enhancement | Auditory Perception Modeling | Simultaneous Masking | Order Analysis | STx Sequencer
The STx Recorder
The STx Recorder is supplied with a peak programme meter. Digital recordings allow no overload at all. For that reason it is extremely important to adjust the signal input level to -12 dB in average, providing enough headroom for signal peaks.
Sound file management, storage, archiving and migration of large sound files including metadata; DataSet management (xml-based)
Sound file segmentation and annotations (xml-based)
Visualization, labeling and annotation of sound data in the time domain, narrow segmentation (phonetic transcription, Unicode)
Visualization, labeling and annotation of time-varying signals by means of spectrograms (in the frequency domain)
and other time-frequency representations (Pseudo-Wigner-distribution).
Comparison of partial# 8 of 4 different music strings.
- Cepstrum Analysis: free selection of order (liftering)
- Linear Prediction Coding (LPC) Analysis: free selection of model order
spectral subtraction and frame averaging
Comparison of auditory model with LPC-model (for speech)
To identify gear orders in a multiple motor component environment a specific method for the generation of order spectrograms has been implemented. The method applies smoothing on the rpm-signal and uses re-sampling as well as the Discrete Fourier Transform (DFT) in combination with the anti aliasing filter to create order analysis spectrograms at reasonable computational cost.